{"id":1204,"date":"2025-03-13T09:26:32","date_gmt":"2025-03-13T09:26:32","guid":{"rendered":"http:\/\/biblioteca-mindole.salem-ecuador.org\/?p=1204"},"modified":"2025-06-24T15:47:45","modified_gmt":"2025-06-24T15:47:45","slug":"how-does-natural-language-processing-nlp-help-2","status":"publish","type":"post","link":"http:\/\/biblioteca-mindole.salem-ecuador.org\/?p=1204","title":{"rendered":"How Does Natural Language Processing NLP help Chatbots?"},"content":{"rendered":"<p><h1>What Is an NLP Chatbot And How Do NLP-Powered Bots Work?<\/h1>\n<\/p>\n<p><img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"305px\" alt=\"natural language processing in chatbot\"\/><\/p>\n<p><p>Instead, think how interesting would that be if you were to converse with a bot that identifies your sentiment, reacts to it with emojis, and chats with you in a very casual tone just like how your friend does. Good generalization is significant for the NLP models to apply what they have learned to unique, real-world scenarios rather than just being adept at rote memorizing training data. To address that, a group of researchers from Meta has proposed a thorough taxonomy to describe and comprehend NLP generalization research.<\/p>\n<\/p>\n<p><p>One of the best things about NLP is that it\u2019s probably the easiest part of AI to explain to non-technical people. Everything we express in written or verbal form encompasses a huge amount of information that goes  way beyond the meaning of individual words.<\/p>\n<\/p>\n<p><h2>Researchers from CMU and NYU Propose\u00a0LLMTime: An Artificial Intelligence Method for\u00a0Zero-Shot\u00a0Time Series Forecasting with&#8230;<\/h2>\n<\/p>\n<p><p>He is passionate about programming and is searching for opportunities to cooperate in software development. He demonstrates exceptional abilities and the capacity to expand knowledge in technology. He loves engaging with other Android Developers and enjoys working and contributing to Open Source Projects.<\/p>\n<\/p>\n<div style='border: grey dotted 1px;padding: 11px;'>\n<h3>10 states most obsessed with AI (and what they&#8217;re searching for) &#8211; SDxCentral<\/h3>\n<p>10 states most obsessed with AI (and what they&#8217;re searching for).<\/p>\n<p>Posted: Sat, 28 Oct 2023 19:25:17 GMT [<a href=\"https:\/\/news.google.com\/rss\/articles\/CBMic2h0dHBzOi8vd3d3LnNkeGNlbnRyYWwuY29tL2FydGljbGVzL2FuYWx5c2lzLzEwLXN0YXRlcy1tb3N0LW9ic2Vzc2VkLXdpdGgtYWktYW5kLXdoYXQtdGhleXJlLXNlYXJjaGluZy1mb3IvMjAyMy8xMC_SAQA?oc=5\" rel=\"nofollow noopener\" target=\"_blank\">source<\/a>]<\/p>\n<\/div>\n<p><p>As usual, there are not that many scenarios to be checked so we can use manual testing. Testing helps to determine whether your AI NLP chatbot works properly. This step is required so the developers\u2019 team can understand our client\u2019s needs.<\/p>\n<\/p>\n<p><h2>Github Hubot Team<\/h2>\n<\/p>\n<p><p>As NodeJS developers we learned to  love Process Manager PM2, and we really encourage you to use it. The first one is to do manually the steps described at <a href=\"https:\/\/www.metadialog.com\/blog\/nlp-for-building-a-chatbot\/\" target=\"_blank\" rel=\"noopener\">bot config<\/a> documentation. You also can use docker-compose.yml file to load a local instance of Rocket.Chat, MongoDB and HubotNatural services, where you can change the parameters if you must.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"309px\" alt=\"natural language processing in chatbot\"\/><\/p>\n<p><p>Pandas \u2014 A software library is written for the Python programming language for data manipulation and analysis. This is a popular solution for those who do  complex and sophisticated technical solutions. Pick a ready to use chatbot template and customise it as per your needs. If you really want to feel safe, if the user isn\u2019t getting the answers he or she wants, you can set up a trigger for human agent takeover. On the other hand, if the alternative means presenting the user with an excessive number of options at once, NLP chatbot can be useful.<\/p>\n<\/p>\n<p><p>Read more about <a href=\"https:\/\/www.metadialog.com\/\" target=\"_blank\" rel=\"noopener\">https:\/\/www.metadialog.com\/<\/a> here.<\/p>\n<\/p>\n<p><a href=\"https:\/\/www.metadialog.com\/\" target=\"_blank\" rel=\"noopener\"><\/p>\n<figure><img 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